Radiological features of invasive adenocarcinoma presenting as pure ground-glass nodules
10.3760/cma.j.issn.2095-2848.2017.12.001
- VernacularTitle:表现为单纯磨玻璃密度结节的肺浸润性腺癌的影像学特征分析
- Author:
Lin YUAN
1
;
Lijuan YU
;
Yingci LI
;
Xueyan LI
Author Information
1. 150081,哈尔滨医科大学附属肿瘤医院PET/CT-MRI中心
- Keywords:
Lung neoplasms;
Adenocarcinoma;
Positron-emission tomography;
Tomography,X-ray computed;
Deoxyglucose
- From:
Chinese Journal of Nuclear Medicine and Molecular Imaging
2017;37(12):753-757
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the radiological features of invasive adenocarcinoma presenting as pGGN.Methods The pathological,clinical and imaging data of 45 pGGN lesions in 40 patients (9 males,31 females;average age (56.31 ± 3.44) years) with pulmonary adenocarcinoma in Tumor Hospital Affiliated to Harbin Medical University from November 2010 to April 2016 were analyzed retrospectively.All patients were confirmed by pathological diagnosis.x2 test and two-sample t test were used.ROC curve analysis was also used to evaluate the optimal cut-off points of lesion size and mass for diagnosing invasive adenocarcinoma.Results There were 20 patients with adenocarcinoma of situ (AIS) and minimally invasive adenocarcinoma (MIA) in group 1 (23 pGGN lesions),while another 20 patients with invasive adenocarcinoma in group 2 (22 pGGN lesions).The vascular convergence sign between 2 groups was statistically significant (13/23 in group 1 and 19/22 in group 2;x2 =4.874,P＜0.05).Statistically differences in the lesion size ((13.83±4.49) mm in group 1 and (20.32±5.97) mm in group 2) and in the lesion mass ((0.36± 0.34) g in group 1 and (0.98±0.44) g in group 2) were found between 2 groups (t values:4.131,5.355;both P＜0.01).ROC curve analysis showed that the optimal cut-off points of the size and the mass were 17.3 mm and 0.69 g respectively,with the sensitivities of 73％ (16/22) and 77％ (17/22),and the specificities of 87％(20/23) and 91％(21/23).Conclusion The size,mass,and vascular convergence sign are helpful to detect invasive adenocarcinoma present as pGGN.
